A simple features (sf) object for Georgia counties with sex- and age-specific deaths and populations at risk (2014-2018), plus select estimates (with standard errors) of county characteristics. Standard errors of the ICE were calculated using the Census Bureau's variance replicate tables.
A simple features object with county geometries and the following columns:
Six digit combined state and county FIPS code
Census Bureau 2018 county population estimate
Percent White, ACS 2018 five-year estimate
Percent Black, ACS 2018 five-year estimate
Percent Hispanic/Latino, ACS 2018 five-year estimate
Percent American Indian, ACS 2018 five-year estimate
Male deaths, 55-64 yo, 2014-2018
Population estimate, males, 55-64 yo, years 2014-2018 (total), ACS 2018 five-year estimate
Standard error of the pop.at.risk.male estimate
Female deaths, 55-64 yo, 2014-2018
Population estimate, females, 55-64 yo, years 2014-2018 (total), ACS 2018 five-year estimate
Standard error of the pop.at.risk.female estimate
Index of Concentration at the Extremes
Standard error of the ICE estimate, calculated using variance replicate tables
Median household income, ACS 2018 five-year estimate
Standard error of the income estimate
Percent of the population age 25 or higher than has a bachelors degree of higher, ACS 2018 five-year estimate
Standard error of the college estimate
Percent of the population with health insurance coverage, ACS 2018 five-year estimate
Standard error of the insurance estimate
Raw (crude) age-specific male mortality rate, 2014-2018
Raw (crude) age-specific female mortality rate, 2014-2018
simple features geometry for county boundaries
Centers for Disease Control and Prevention, National Center for Health Statistics. Underlying Cause of Death 1999-2018 on CDC Wonder Online Database. 2020. Available online: http://wonder.cdc.gov (accessed on 19 October 2020).
Donegan, Connor and Chun, Yongwan and Griffith, Daniel A. (2021). ``Modeling community health with areal data: Bayesian inference with survey standard errors and spatial structure.'' Int. J. Env. Res. and Public Health 18 (13): 6856. DOI: 10.3390/ijerph18136856 Data and code: https://github.com/ConnorDonegan/survey-HBM.
Kyle Walker and Matt Herman (2020). tidycensus: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames. R package version 0.11. https://CRAN.R-project.org/package=tidycensus
US Census Bureau. Variance Replicate Tables, 2018. Available online: https://www.census.gov/programs-surveys/acs/data/variance-tables.2018.html (accessed on 19 October 2020).